S van Buuren
Biographic Data
| ID | 6173707 |
|---|---|
| NAME | S van Buuren |
| GIVEN NAMES | S |
| FAMILY NAME | van Buuren |
| SIGNATURE | VAN BUUREN S |
| AFFILIATIONS | Netherlands Organisation for Applied Scientific Research |
| ORCID | 0000-0003-1098-2119 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
GSED Core Model
The diversity of measures used to assess early childhood development complicates comparison across studies, populations, and programs. The Global Scales for Early Development (GSED) address this challenge by providing interoperable long and short forms (GSED-LF and GSED-SF) linked through a shared measurement model to a common developmental metric, the D-score. This article presents an updated GSED core model based on Rasch analysis of data from …
Enhancing comparability in early child development assessment with the D-score
The lack of a valid and interpretable score to track early child development over time is a primary reason for neglecting child development in policymaking. Many instruments exist, but there is no accepted method for comparing their scores across different ages, samples, and instruments. This paper aims (1) to enhance the Development Score (D-score), a unidimensional scale for early child development, to compare measurements across ages, samples,…
The creation of the Global Scales for Early Development (GSED) for children aged 0–3 years
INTRODUCTION: With the ratification of the Sustainable Development Goals, there is an increased emphasis on early childhood development (ECD) and well-being. The WHO led Global Scales for Early Development (GSED) project aims to provide population and programmatic level measures of ECD for 0-3 years that are valid, reliable and have psychometrically stable performance across geographical, cultural and language contexts. This paper reports on the …
Multiple imputation in data that grow over time
Multiple imputation is a recommended technique to deal with missing data. We study the problem where the investigator has already created imputations before the arrival of the next wave of data. The newly arriving data contain missing values that need to be imputed. The standard method (RE-IMPUTE) is to combine the new and old data before imputation, and re-impute all missing values in the combined data. We study the properties of two methods tha…
Diversity in auxology
Auxology has developed from mere describing child and adolescent growth into a vivid and interdisciplinary research area encompassing human biologists, physicians, social scientists, economists and biostatisticians. The meeting illustrated the diversity in auxology, with the various social, medical, biological and biostatistical aspects in studies on child growth and development.
P2-470 Reference values for childhood body mass index in the era of the overweight epidemic
Introduction Due to the overweight and obesity epidemic, growth references based on recent data may no longer be appropriate for monitoring childhood body mass index (BMI) as they may underestimate the problem. Our aim is to determine the difference in signalling overweight and obesity between the use of up to date references and cut-offs for BMI according to the International Obesity Task Force (IOTF). Methods The growth references for BMI were …
O4-1.3 Overweight in short and tall children
Introduction It is known that body mass index is correlated with height. This suggests that the prevalence rates of overweight and obesity differ between tall and short children. Our aim is to study the impact of height during childhood on the national prevalence rates of overweight and obesity at childhood and adulthood. Methods We used cross-sectional growth data from the previous two Dutch nationwide surveys performed in 1997 (n=14 500) and 20…
Growth variation, final height and secular trend. Proceedings of the 17th Aschauer Soiree, 7th November 2009
Fully conditional specification in multivariate imputation
The use of the Gibbs sampler with fully conditionally specified models, where the distribution of each variable given the other variables is the starting point, has become a popular method to create imputations in incomplete multivariate data. The theoretical weakness of this approach is that the specified conditional densities can be incompatible, and therefore the stationary distribution to which the Gibbs sampler attempts to converge may not e…
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Fully conditional specification in multivariate imputation
The use of the Gibbs sampler with fully conditionally specified models, where the distribution of each variable given the other variables is the starting point, has become a popular method to create imputations in incomplete multivariate data. The theoretical weakness of this approach is that the specified conditional densities can be incompatible, and therefore the stationary distribution to which the Gibbs sampler attempts to converge may not e…
Growth variation, final height and secular trend. Proceedings of the 17th Aschauer Soiree, 7th November 2009
P2-470 Reference values for childhood body mass index in the era of the overweight epidemic
Introduction Due to the overweight and obesity epidemic, growth references based on recent data may no longer be appropriate for monitoring childhood body mass index (BMI) as they may underestimate the problem. Our aim is to determine the difference in signalling overweight and obesity between the use of up to date references and cut-offs for BMI according to the International Obesity Task Force (IOTF). Methods The growth references for BMI were …
O4-1.3 Overweight in short and tall children
Introduction It is known that body mass index is correlated with height. This suggests that the prevalence rates of overweight and obesity differ between tall and short children. Our aim is to study the impact of height during childhood on the national prevalence rates of overweight and obesity at childhood and adulthood. Methods We used cross-sectional growth data from the previous two Dutch nationwide surveys performed in 1997 (n=14 500) and 20…
Diversity in auxology
Auxology has developed from mere describing child and adolescent growth into a vivid and interdisciplinary research area encompassing human biologists, physicians, social scientists, economists and biostatisticians. The meeting illustrated the diversity in auxology, with the various social, medical, biological and biostatistical aspects in studies on child growth and development.
Multiple imputation in data that grow over time
Multiple imputation is a recommended technique to deal with missing data. We study the problem where the investigator has already created imputations before the arrival of the next wave of data. The newly arriving data contain missing values that need to be imputed. The standard method (RE-IMPUTE) is to combine the new and old data before imputation, and re-impute all missing values in the combined data. We study the properties of two methods tha…
The creation of the Global Scales for Early Development (GSED) for children aged 0–3 years
INTRODUCTION: With the ratification of the Sustainable Development Goals, there is an increased emphasis on early childhood development (ECD) and well-being. The WHO led Global Scales for Early Development (GSED) project aims to provide population and programmatic level measures of ECD for 0-3 years that are valid, reliable and have psychometrically stable performance across geographical, cultural and language contexts. This paper reports on the …
Enhancing comparability in early child development assessment with the D-score
The lack of a valid and interpretable score to track early child development over time is a primary reason for neglecting child development in policymaking. Many instruments exist, but there is no accepted method for comparing their scores across different ages, samples, and instruments. This paper aims (1) to enhance the Development Score (D-score), a unidimensional scale for early child development, to compare measurements across ages, samples,…
GSED Core Model
The diversity of measures used to assess early childhood development complicates comparison across studies, populations, and programs. The Global Scales for Early Development (GSED) address this challenge by providing interoperable long and short forms (GSED-LF and GSED-SF) linked through a shared measurement model to a common developmental metric, the D-score. This article presents an updated GSED core model based on Rasch analysis of data from …
Medicine (4 works) · Birth, Development, and Health (3 works) · Demography (3 works) · Early Childhood Education and Development (3 works) · Infant Development and Preterm Care (3 works) · Psychology (3 works) · Body mass index (2 works) · Child development (2 works) · Child Nutrition and Water Access (2 works) · Childhood obesity (2 works)